User acceptance of an artificial intelligence (AI) virtual assistant : an extension of the technology acceptance model

Song, Yong

doi:10.26153/tsw/2132

Cited by 1 publication

(2 citation statements)

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“…The study agreed with previous research that effort expectancy is a key determinant of adopting AI technology (e.g. Song, 2019;Attia, 2019;Gansser & Reich, 2021;Goli et al, 2023) wherein perceived ease of use has a positive impact on behavioral intention to use AI.…”

Section: Discussionsupporting

confidence: 90%

“…In order to look at what influences people's intentions to use artificial intelligence (AI), Song (2019) looked at artificial intelligence virtual assistants and extended the Technology Acceptance Model (TAM). The findings corroborated TAM, which holds that behavioral intention to use an AI virtual assistant is positively impacted by perceived utility and simplicity of use.…”

Section: Public Acceptance Of Ai Technologymentioning

confidence: 99%

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قبول المستخدمين المصريين لمحتوى الفيديو المصنوع بأدوات الذكاء الاصطناعي على منصات التواصل الاجتماعي

فهمي

2024

المجلة العلمية لبحوث الإذاعة والتلفزيون

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This research investigates the acceptance of AI-generated video content on social media platforms among Egyptian Millennials and Generation Z users. A model, extending the AI Device Use Acceptance Model (AIDUA), was proposed, incorporating additional variables into the existing three-stage model. The study examined the impact of nine determinants on the final stage, whether users were willing or opposed to using AI technology for video content creation. These determinants encompassed social influence, hedonic motivation, anthropomorphism, technophilia, computer self-efficacy, performance expectancy, perceived effort, emotion, and information verification. The purposive sample comprised 461 subjects, and data were collected through an electronic questionnaire. Structural equation modeling (SEM) and path analysis were employed to test hypotheses and analyze relationships between variables. Results confirmed the study's hypotheses, demonstrating significant effects of the assumed determinants on users' inclination or objection to AI applications in video content generation. Notably, the study found no statistically significant differences in the study variables based on respondents' age groups.

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Section: Discussionsupporting

confidence: 90%

Section: Public Acceptance Of Ai Technologymentioning

confidence: 99%